Tianchen Zhao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 44

Top Topics

Encoding Scheme

Incremental Learning

Object Detection

Diffusion Models

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang
TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. WACV (2024)
Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR (2024)
Tianchen Zhao, Michel Kadoch, Rongqun Peng
Reinforcement Learning for Path Planning in Communication-Limited Environments. BMSB (2024)
Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models. CoRR (2024)
Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. CoRR (2024)
Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang
DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. DATE (2024)
Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
DiTFastAttn: Attention Compression for Diffusion Transformer Models. CoRR (2024)
Xiang Xu, Tianchen Zhao, Zheng Zhang, Zhihua Li, Jon Wu, Alessandro Achille, Mani Srivastava
Principles of Designing Robust Remote Face Anti-Spoofing Systems. CoRR (2024)
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". CoRR (2023)
Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
Meta-variational quantum Monte Carlo. Quantum Mach. Intell. 5 (1) (2023)
Xuefei Ning, Yin Zheng, Zixuan Zhou, Tianchen Zhao, Huazhong Yang, Yu Wang
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang
Memory-Oriented Structural Pruning for Efficient Image Restoration. AAAI (2023)
Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR (2023)
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". AAAI (2023)
Tianchen Zhao, Xianpeng Wang, Xiangman Song, Chang Liu
Crack detection of continuous casting slab by evolutionary topology backbone search. Appl. Soft Comput. 146 (2023)
Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV (2023)
Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CVPR (2022)
Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CoRR (2022)
Jun Wang, Tianchen Zhao, Xiaoliang Jiang, Kun Lan
A Hierarchical Heterogeneous Graph for Unsupervised SAR Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
Scalable neural quantum states architecture for quantum chemistry. CoRR (2022)
Tianchen Zhao, Chuhao Sun, Asaf Cohen, James Stokes, Shravan K. Veerapaneni
Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing. CoRR (2022)
Jun Wang, Tianchen Zhao, Xiaoliang Jiang
Unsupervised Multi-Look SAR Image Change Detection Driven by Dual-Layer Graph With Intensity and Texture Attributes. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang
TA-GATES: An Encoding Scheme for Neural Network Architectures. NeurIPS (2022)
Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang
Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan Veerapaneni
Natural evolution strategies and variational Monte Carlo. Mach. Learn. Sci. Technol. 2 (2) (2021)
Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia
Learning Self-Consistency for Deepfake Detection. ICCV (2021)
Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan Veerapaneni
Overcoming barriers to scalability in variational quantum Monte Carlo. CoRR (2021)
Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan Veerapaneni
Overcoming barriers to scalability in variational quantum Monte Carlo. SC (2021)
Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan Veerapaneni
Natural evolution strategies and quantum approximate optimization. CoRR (2020)
Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. ECCV (3) (2020)
Xuefei Ning, Changcheng Tang, Wenshuo Li, Songyi Yang, Tianchen Zhao, Niansong Zhang, Tianyi Lu, Shuang Liang, Huazhong Yang, Yu Wang
aw_nas: A Modularized and Extensible NAS framework. CoRR (2020)
Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures. CoRR (2020)
Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang
Towards Lower Bit Multiplication for Convolutional Neural Network Training. CoRR (2020)
Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. CoRR (2020)
Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS. CoRR (2020)
Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang
A Surgery of the Neural Architecture Evaluators. CoRR (2020)
Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia
Learning to Recognize Patch-Wise Consistency for Deepfake Detection. CoRR (2020)
Xuefei Ning, Junbo Zhao, Wenshuo Li, Tianchen Zhao, Huazhong Yang, Yu Wang
Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities. CoRR (2020)
Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS. ECCV (13) (2020)
Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan Veerapaneni
Meta Variational Monte Carlo. CoRR (2020)
Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
Diversity-Sensitive Conditional Generative Adversarial Networks. CoRR (2019)
Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
Diversity-Sensitive Conditional Generative Adversarial Networks. ICLR (Poster) (2019)
Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee
Adversarial Defense via Learning to Generate Diverse Attacks. ICCV (2019)
Tianchen Zhao
Information Theoretic Interpretation of Deep learning. CoRR (2018)